Turnitin
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Latent embedding feedback and discriminative features for zero-shot classification
Zero-shot learning strives to classify unseen categories for which no data is available during
training. In the generalized variant, the test samples can further belong to seen or unseen …
training. In the generalized variant, the test samples can further belong to seen or unseen …
Attentive region embedding network for zero-shot learning
Zero-shot learning (ZSL) aims to classify images from unseen categories, by merely utilizing
seen class images as the training data. Existing works on ZSL mainly leverage the global …
seen class images as the training data. Existing works on ZSL mainly leverage the global …